# Memorizon

Memorizon proposes a training recipe in which each scored chunk retrieves its own top-k latents by camera co-visibility and their union forms a bounded shared memory bank, so a training sample can cover a span of any length while the attention sequence stays bounded; revisit consistency improves on every split over a sliding-window baseline, and a span long enough to reach the first visit adds further gains at some cost in image quality.

Memorizon proposes a training recipe in which each scored chunk retrieves its own top-k latents by camera co-visibility and their union forms a bounded shared memory bank, so a training sample can cover a span of any length while the attention sequence stays bounded; revisit consistency improves on every split over a sliding-window baseline, and a span long enough to reach the first visit adds further gains at some cost in image quality.